| 项目编号: | 1663108
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| 项目名称: | CAREER: Drought Predictability and the Role of Land-Atmosphere Interactions in the U.S. Great Plains |
| 作者: | Steven Quiring
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| 承担单位: | Ohio State University
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| 批准年: | 2016
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| 开始日期: | 2016-09-01
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| 结束日期: | 2018-02-28
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| 资助金额: | 29515
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| 资助来源: | US-NSF
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| 项目类别: | Continuing grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Atmospheric and Geospace Sciences
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| 英文关键词: | soil moisture
; land-atmosphere
; land-atmosphere interaction
; u. s. great plains
; national drought mitigation center workshop
; project
; drought portal
; drought science
; land-atmosphere coupling?this study
; community land model
; drought science learning community
; land surface model
; land-atmosphere coupling
; global land surface model
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| 英文摘要: | Soil moisture is an important variable in the climate system. Relatively little work has been done to assemble and homogenize in situ measurements of soil moisture and to utilize these measurements for investigating land-atmosphere interactions. The research goal of this project is to understand how soil moisture influences climate on seasonal to interannual timescales in the U.S. Great Plains. This work will address four scientific questions: (1) How do land-atmosphere interactions, specifically those related to soil moisture, vary over space and time? (2) Are soil moisture and land-atmosphere interactions accurately simulated in global land surface models? (3) What are the processes through which soil moisture influences climate on seasonal to interannual time scales? (4) Why are there substantial spatial and temporal variations in the strength of land-atmosphere coupling?
This study will develop a soil moisture database for the U.S. Great Plains using station-based observations. These data are important for developing climate forecasting tools, calibrating land surface models, and validating satellite-derived soil moisture algorithms. The Community Land Model (CLM) will be used to investigate land-atmosphere interactions, interannual to interdecadal variability and to identify the physical mechanisms that are responsible for spatial and temporal variations in the strength of land-atmosphere coupling. The scientific outcomes of this project will support the development of more accurate climate forecasts and is readily transferable to other mid-latitude regions.
Broader impacts of this project include (1) disseminating the obtained results to stakeholders through National Drought Mitigation Center workshops and the federal government's drought portal (drought.gov), (2) teaching a Freshman Year Seminar (FYS) focused on drought science to 15 students/year, (3) establishing a Drought Science Learning Community to encourage integration of learning across courses and to involve students in one of the grand challenges facing society, (4) training and supporting three undergraduate students, and (5) involving actively a PhD student in all aspects of the research, including mentoring the undergraduate students. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/91023
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Steven Quiring. CAREER: Drought Predictability and the Role of Land-Atmosphere Interactions in the U.S. Great Plains. 2016-01-01.
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